Materialize CTO Nikhil Benesch: Making data operational episode artwork

EPISODE · Dec 5, 2023 · 54 MIN

Materialize CTO Nikhil Benesch: Making data operational

from Tractable · host Kshitij Grover

Nikhil Benesch, CTO at Materialize, joins me to discuss the evolution of Materialize from its origins at Cockroach to a production-grade system powering companies like Ramp and General Mills. Nikhil shares the the origin story of Materialize, the progress from Streaming Data Warehouse to Operational Data Warehouse, and the the challenges of offering cloud-native solutions. Additionally, Nikhil explains the trade-offs between freshness, consistency, and responsiveness, and discusses future advancements, including spill-to-disk functionality and expanded data inputs and outputs.

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Materialize CTO Nikhil Benesch: Making data operational

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Fluidity Matt Arnold After the collapse of the 20th-century systematic mode of social organization, how can we move from our internet-enabled atomized mode, toward a fluid mode? We take problems of meaning-making, typically considered spiritual, and turn them into practical problems, which are more tractable."Meaningness" begins with this episode: https://fluidity.libsyn.com/an-appetizer-purpose"Meaningness And Time" begins with this episode: https://fluidity.libsyn.com/meaningness-and-time-how-meaning-fell-apart'In The Cells Of The Eggplant" begins with this episode: https://fluidity.libsyn.com/intro-to-metarationalityYou can support the podcast and get episodes a week early, by supporting the Patreon: https://www.patreon.com/m/fluidityaudiobooksIf you like the show, consider buying me a coffee: https://www.buymeacoffee.com/mattarnoldThis is a nonfiction audiobook narrated by Matt Arnold with the permission of the author, David Chapman. Full text at: https://meaningness.comPlease email me at fluidi Uncertainty quantification for complex systems: theory and methodologies Cambridge University In areas as diverse as climate modelling, manufacturing, energy, life sciences, finance, geosciences and medicine, mathematical models and their discretisations into computer models are routinely used to inform decisions, assess risk and formulate policies. How accurate are the predictions made using such models? This crucial question lies at the heart of uncertainty quantification (UQ).UQ is a broad phrase used to describe methodologies for taking account of uncertainties when mathematical and computer models are used to describe real-world phenomena. This includes propagating uncertainty from unknown model inputs to model outputs, the study of uncertainty in the models themselves, developing approximation schemes that result in tractable and accurate computer models, robust design, model calibration and other inverse problems, model bias and discrepancy etc. This programme focuses on UQ for complex systems which have complicated mathematical descriptions such as systems of partial

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This episode was published on December 5, 2023.

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Nikhil Benesch, CTO at Materialize, joins me to discuss the evolution of Materialize from its origins at Cockroach to a production-grade system powering companies like Ramp and General Mills. Nikhil shares the the origin story of Materialize, the...

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